{"id":"W4391404806","doi":"10.3390/world5010005","title":"Investigating Loss and Damage in Coastal Region of Bangladesh from Migration as Adaptation Perspective: A Qualitative Study from Khulna and Satkhira District","year":2024,"lang":"en","type":"article","venue":"World","topic":"Climate Change, Adaptation, Migration","field":"Social Sciences","cited_by":14,"is_retracted":false,"has_abstract":true,"ca_institutions":"Saint Mary's University; St. Mary's University","funders":"","keywords":"Perspective (graphical); Adaptation (eye); Qualitative research; Geography; Environmental planning; Environmental resource management; Sociology; Environmental science; Biology; Computer science; Social science","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.00265349,0.0004503495,0.0006318866,0.001094116,0.007798551,0.002573321,0.001239683,0.001226707,0.002835044],"category_scores_gemma":[0.003557088,0.0005521894,0.0003034504,0.00140648,0.005067511,0.002365632,0.00280405,0.00157181,0.0003051318],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00334916,"about_ca_system_score_gemma":0.002335692,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.01039554,"about_ca_topic_score_gemma":0.02457929,"domain_scores_codex":[0.9978066,0.001382924,0.00008062362,0.0001583851,0.0001736106,0.0003977421],"domain_scores_gemma":[0.9971874,0.001705555,0.0003232076,0.00009459636,0.0002633489,0.0004259228],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"qualitative","study_design_gemma":"qualitative","study_design_scores_codex":[0.0000180504,0.0000333535,0.004912572,0.000151277,0.000003712669,0.00211032,0.9881781,0.00003436569,0.00137231,0.0004493907,0.0003312124,0.002405409],"study_design_scores_gemma":[6.562141e-7,0.0000191865,0.001768625,0.00003613878,0.000001436086,0.0002322719,0.9954553,0.00001730209,0.0000981031,0.000040617,0.002326103,0.000004305357],"study_design_candidate":"qualitative","study_design_consensus":"qualitative","genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.9955324,0.0003879595,0.0005800689,0.0009734175,0.000020048,0.00007263824,0.00007702405,0.000005092628,0.002351398],"genre_scores_gemma":[0.9952815,0.001049046,0.0004999783,0.0003662349,0.00001126175,0.000127883,0.00004328228,0.000009845095,0.002610991],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.01039554,"threshold_uncertainty_score":0.02429992,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.1155923429225343,"score_gpt":0.3751681610135423,"score_spread":0.259575818091008,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}